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Currently most models in cuml match the sklearn interface (or at least are intended to). The exception seems to be the models in cuml.tsa, which match the interface in statsmodels IIUC.
Are we ok with different interfaces being implemented in this project (my guess is yes)?
If so, should we use a separate base class than cuml.internals.Base for those that don't match the sklearn interface?
The text was updated successfully, but these errors were encountered:
Currently most models in
cuml
match thesklearn
interface (or at least are intended to). The exception seems to be the models incuml.tsa
, which match the interface instatsmodels
IIUC.cuml.internals.Base
for those that don't match the sklearn interface?The text was updated successfully, but these errors were encountered: